TY - GEN
T1 - AgriKG
T2 - 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019
AU - Chen, Yuanzhe
AU - Kuang, Jun
AU - Cheng, Dawei
AU - Zheng, Jianbin
AU - Gao, Ming
AU - Zhou, Aoying
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Recently, with the development of information and intelligent technology, agricultural production and management have been significantly boosted. But it still faces considerable challenges on how to effectively integrate large amounts of fragmented information for downstream applications. To this end, in this paper, we propose an agricultural knowledge graph, namely AgriKG, to automatically integrate the massive agricultural data from internet. By applying the NLP and deep learning techniques, AgriKG can automatically recognize agricultural entities from unstructured text, and link them to form a knowledge graph. Moreover, we illustrate typical scenarios of our AgriKG and validate it by real-world applications, such as agricultural entity retrieval, and agricultural question answering, etc.
AB - Recently, with the development of information and intelligent technology, agricultural production and management have been significantly boosted. But it still faces considerable challenges on how to effectively integrate large amounts of fragmented information for downstream applications. To this end, in this paper, we propose an agricultural knowledge graph, namely AgriKG, to automatically integrate the massive agricultural data from internet. By applying the NLP and deep learning techniques, AgriKG can automatically recognize agricultural entities from unstructured text, and link them to form a knowledge graph. Moreover, we illustrate typical scenarios of our AgriKG and validate it by real-world applications, such as agricultural entity retrieval, and agricultural question answering, etc.
UR - https://www.scopus.com/pages/publications/85065399556
U2 - 10.1007/978-3-030-18590-9_81
DO - 10.1007/978-3-030-18590-9_81
M3 - 会议稿件
AN - SCOPUS:85065399556
SN - 9783030185893
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 533
EP - 537
BT - Database Systems for Advanced Applications - DASFAA 2019 International Workshops
A2 - Tong, Yongxin
A2 - Gama, Joao
A2 - Natwichai, Juggapong
A2 - Li, Guoliang
A2 - Yang, Jun
PB - Springer Verlag
Y2 - 22 April 2019 through 25 April 2019
ER -
